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^.*\.Rproj$ | ||
^\.Rproj\.user$ | ||
^data-raw$ | ||
^R-raw$ | ||
^README\.Rmd$ | ||
^README-.*\.png$ | ||
^\.github$ |
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*.html |
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.Rproj.user | ||
.Rhistory | ||
.RData | ||
.Ruserdata |
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Package: multinichenetr | ||
Type: Package | ||
Title: Cell-Cell Communication analysis for scRNAseq data with complex multi-sample multi-group designs | ||
Version: 0.1.0 | ||
Author: person("Robin", "Browaeys", email = "[email protected]", | ||
role = c("aut", "cre")) | ||
Maintainer: Robin Browaeys <[email protected]> | ||
Description: This package allows you the investigate intercellular communication from a computational perspective. | ||
It is an extension of the NicheNet framework (https://github.com/saeyslab/nichenetr) to better suit scRNAseq datasets with complex designs. | ||
These datasets can contain multiple samples (e.g. patients) over different groups of interest (e.g. disease subtypes). | ||
With MultiNicheNet, you can now better analyze the differences in cell-cell signaling between the different groups of interest. | ||
MultiNicheNet will give a you a list of the ligand-receptor interactions that are most strongly differentially expressed between patients of the different groups, and also most active in the different groups as given by the NicheNet ligand activity. | ||
License: GPL-3 | ||
Encoding: UTF-8 | ||
LazyData: true | ||
URL: https://github.com/browaeysrobin/multinichenetr | ||
BugReports: https://github.com/browaeysrobin/multinichenetr/issues | ||
Depends: R (>= 3.4.0) | ||
Imports: | ||
Seurat, | ||
dplyr, | ||
circlize, | ||
patchwork, | ||
ggplot2, | ||
tibble, | ||
tidyr, | ||
purrr, | ||
ComplexHeatmap, | ||
stringr, | ||
generics, | ||
grid, | ||
Nebulosa | ||
Remotes: | ||
github::saeyslab/nichenetr | ||
RoxygenNote: 7.1.1 |
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# Generated by roxygen2: do not edit by hand | ||
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export(combine_sender_receiver_de) | ||
export(combine_sender_receiver_info_ic) | ||
export(fix_frq_df) | ||
export(generate_prioritization_tables) | ||
export(get_avg_frac_exprs_abund) | ||
export(get_ligand_activities_targets_DEgenes) | ||
export(get_muscat_exprs_avg) | ||
export(get_muscat_exprs_frac) | ||
export(make_circos_group_comparison) | ||
export(make_featureplot) | ||
export(make_group_lfc_exprs_activity_plot) | ||
export(make_ligand_activity_plots) | ||
export(make_ligand_activity_target_plot) | ||
export(make_ligand_receptor_nebulosa_feature_plot) | ||
export(make_ligand_receptor_violin_plot) | ||
export(make_nebulosa) | ||
export(make_sample_lr_prod_activity_plots) | ||
export(make_sample_lr_prod_plots) | ||
export(make_sample_target_plots) | ||
export(make_sample_target_plots_reversed) | ||
export(make_target_nebulosa_feature_plot) | ||
export(make_target_violin_plot) | ||
export(ms_mg_nichenet_analysis) | ||
export(ms_mg_nichenet_analysis_combined) | ||
export(ms_mg_nichenet_analysis_separate) | ||
export(perform_muscat_de_analysis) | ||
export(process_info_to_ic) | ||
import(Seurat) | ||
import(dplyr) | ||
import(muscat) | ||
importFrom(purrr,map) |
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library(Seurat) | ||
library(tidyverse) | ||
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# add visium | ||
seurat_obj = readRDS("C:/Users/rbrowaey/work/Research/NicheNet/current_projects/CRC_NicheNet/data/seurat_obj_lite_hnscc.rds") | ||
usethis::use_data(seurat_obj,overwrite = T, compress = "bzip2") | ||
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usethis::use_package("Seurat") | ||
usethis::use_package("dplyr") | ||
usethis::use_package("ggplot2") | ||
usethis::use_package("circlize") | ||
usethis::use_package("patchwork") | ||
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usethis::use_package("Scater") | ||
usethis::use_package("Muscat") | ||
usethis::use_package("tibble") | ||
usethis::use_package("tidyr") | ||
usethis::use_package("purrr") | ||
usethis::use_package("ComplexHeatmap") | ||
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usethis::use_package("circlize") | ||
usethis::use_package("stringr") | ||
usethis::use_package("generics") | ||
usethis::use_package("ComplexHeatmap") | ||
usethis::use_package("grid") | ||
usethis::use_package("Nebulosa") | ||
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## description of data | ||
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#' Seurat object containing scRNAseq data (subsampled) | ||
#' | ||
#' Seurat object containing scRNAseq data (subsampled). Source of the data: Puram et al., Cell 2017: “Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer.”. This example data was downsampled (features and cells). | ||
#' | ||
#' @format An object of class Seurat | ||
#' | ||
"seurat_obj" |
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